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Xva Trading Jobs (NOW HIRING)

Societe Generale

Senior Salesperson

New York, NY

As a Director in Interest Rate Sales at Societe Generale, you will be a key player on the trading ... to XVA and other relevant regulatory and operational requirements. Collaborate closely with ...

Elavon

FX & Rates Product Owner

Charlotte, NC

Working knowledge of XVA concepts including CVA and DVA with appropriate stakeholders. Familiarity with Front Office, Risk, and Finance workflows and how they intersect across trading, valuation, and ...

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$36

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How much do xva trading jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for xva trading in the United States is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $46.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Xva Trading position, and why are they important?

To excel in XVA Trading, you need strong quantitative finance knowledge, expertise in derivatives pricing, and a background in mathematics, finance, or engineering. Familiarity with programming languages such as Python or C++, risk management systems, and XVA-specific platforms like Murex or Calypso is highly valuable. Excellent problem-solving skills, attention to detail, and effective communication are key soft skills for collaborating with risk, technology, and trading teams. These skills are crucial to accurately assess valuation adjustments, manage complex portfolios, and ensure regulatory compliance in a fast-paced trading environment.

What are some typical daily responsibilities of an XVA Trading professional?

An XVA Trading professional typically monitors and manages valuation adjustments (such as CVA, DVA, and FVA) on derivative portfolios, ensuring accurate pricing and effective risk mitigation. They collaborate closely with front-office traders, risk managers, and quantitative analysts, and often develop or enhance models to reflect market conditions. Daily tasks may include running exposure simulations, analyzing counterparty risks, and communicating complex findings to both technical and non-technical stakeholders. This role offers a dynamic and challenging environment, making adaptability and continuous learning essential for long-term success.

What is an XVA Trading job?

An XVA Trading job involves managing and pricing valuation adjustments (XVAs) in derivative trading. XVAs account for factors like credit risk (CVA), funding costs (FVA), and capital requirements (KVA) to ensure accurate trade valuation. XVA traders work closely with risk management and quant teams to optimize pricing, hedge risks, and improve profitability. They use complex mathematical models, market simulations, and financial instruments to adjust derivative prices reflecting real-world costs. This role requires strong quantitative skills, financial market knowledge, and expertise in risk management.

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Xva Trading jobs near you
Infographic showing various Xva Trading job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 84% Physical, 14% Hybrid, and 2% Remote job distribution, with an average salary of $76,005 per year, or $36.5 per hour.
Senior Software Development Engineer

Senior Software Development Engineer

Clearwater Analytics

Manhattan, NY • On-site

$134K - $177K/yr

Full-time

Posted 16 hours ago

Job description

Job Summary:
Clearwater Analytics is seeking a Senior Software Development Engineer for their Risk team. This role involves designing, developing, and supporting software solutions for Trading & Risk Management Systems, with a focus on risk analytics and reporting capabilities. The engineer will collaborate with product managers and quantitative analysts to deliver scalable and reliable solutions while applying AI-assisted development practices.
Responsibilities:
• Design, develop, test, deploy, and maintain software applications supporting Trading & Risk Management Systems.
• Build and enhance risk analytics and reporting solutions, including support for Greeks, VaR, PFE, and XVA calculations.
• Partner with product managers, quantitative analysts, and engineering teams to translate business and technical requirements into scalable software solutions.
• Develop and maintain backend services, APIs, and microservices that integrate with internal and external systems.
• Integrate and support market data feeds and services from external vendors such as Bloomberg, Refinitiv, Markit, and similar providers.
• Apply AI-assisted development practices and support intelligent automation opportunities within engineering and risk workflows where appropriate.
• Contribute to the design or integration of Agentic AI solutions, such as workflow agents, reasoning assistants, or automation services, in support of engineering productivity and operational efficiency.
• Troubleshoot production issues, perform root cause analysis, and implement sustainable fixes.
• Contribute to code reviews, testing, automation, and CI/CD processes to ensure high-quality software delivery.
• Maintain technical documentation and support ongoing platform improvements and modernization efforts.
Qualifications:
Required:
• Hands-on Python development experience is required.
• Strong software development experience in Python or another object-oriented programming language.
• 7+ years of professional software development experience in the financial services industry.
• Experience working with Trading & Risk Management Systems and risk analytics/reporting platforms.
• Required background in dealing with and integrating market data vendors such as Bloomberg, Refinitiv, Markit, or similar providers.
• Experience developing backend applications, APIs, and microservices.
• Understanding of Agentic AI concepts, including autonomous workflows, orchestration frameworks, prompt-driven task execution, and AI-assisted software development tools.
• Proficiency with source control tools such as Git.
• Experience with testing frameworks, automation, and CI/CD pipelines.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative, cross-functional environment.
• Bachelor’s degree in computer science, Engineering, Mathematics, Finance, or a related technical field, or equivalent practical experience.
Preferred:
• Experience or familiarity with integrating LLM-based capabilities, AI agents, or intelligent automation into enterprise applications is preferred.
• Experience supporting trading, pricing, or risk management workflows is strongly preferred.
• Exposure to AI/ML, intelligent automation, or Agentic AI frameworks in enterprise environments is a plus.
Company:
Clearwater Analytics is a SaaS company, providing automated investment accounting, performance, and analytics for institutional investors. Founded in 2004, the company is headquartered in Boise, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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